Abstract: Recommending commute options to a user based on a relevance of physical advertisements on the commute options to user's requirements includes capturing, by a computer, physical advertisements on possible commute options within a region, determining an item requirement of a user and correlating the captured physical advertisements on each possible commute option with the determined item requirement of the user, and determining a user's availability to look at the physical advertisements on each possible commute option between a starting point of a trip and a final point of the trip. A relevance score is then assigned to each of the captured physical advertisements on each possible commute option and the determined item requirement of the user, and based on the relevance score and the determined user's availability to look at the physical advertisements for each possible commute option, all possible commute options are sorted and communicated to a user device.

Abstract: Assigning wireless resources to a device based on usage context and predicting future demand for wireless resources. Connections to available wireless resources are made according to usage context and managed according to predicted future resource needs. An artificial intelligence prediction module and a supervised learning engine establish a proposed wireless resource usage plan. The available wireless resources are evaluated with reference to the usage plan and connections are made according to the evaluations.

Abstract: Generating a composite screenshot including contextually relevant screenshots and displayed information. The composite screenshot includes one or more screenshots captured from a display screen of a requesting user. Contextual relevance is determined according to collected user communications data such as IoT interactions, social media posts, and chat session transcripts.

Abstract: A system for manipulating a 3D object for a computing device is provided. A computer device identifies one or more sensors worn by a user, wherein the one or more sensors track the user's hand and finger movements. The computing device monitors during production of a three dimensional (3D) object, the one or more sensors for modification to a holographic projection representing the 3D object, wherein the user's hand and finger movements modify the holographic projection representing the 3D object. A computing device identifies a modification to the 3D object represented by the holographic projection. A computing device generates a modification request based, at least in part, on the identified modification. The computing device updates production of the 3D object, based, at least in part, on the modification request.

Abstract: An indication is received. The indication is for a wireless communication being made by a computing device. Responsive to receiving the indication, an optimized location to make the wireless communication is determined based on a location of the computing device and an optimized locations list. The optimized location is communicated to the computing device making the wireless communication.

Abstract: A computer system performs corrective operations during a three-dimensional (3D) printing job. The 3D printing job is initiated to produce a physical object. Printing of the physical object is monitored to identify a defect of the physical object during the printing. The defect is analyzed to determine one or more corrective operations to apply to the physical object. The one or more corrective operations are performed during the printing. Embodiments of the present invention further include a method and program product for performing corrective operations during a 3D printing job model in substantially the same manner described above.

Abstract: Aspects of the present invention disclose a method for safeguarding an audio device by enabling the audio device to perform harm prevention and retrieval related task based on detecting a set of conditions within an operating environment of the audio device. The method includes one or more processors determining a freefall event of an audio device is occurring. The method further includes one or more processors determining an operating environment type of a surface the audio device contacts after the freefall event ends, wherein the operating environment type of the surface indicates liquid is present. The method further includes responsive to the indication that water is present one or more processors taking a liquid mitigation action.

Abstract: Aspects of the present invention disclose a method for safeguarding an audio device by enabling the audio device to perform harm prevention and retrieval related task based on detecting a set of conditions within an operating environment of the audio device. The method includes one or more processors determining a freefall event of an audio device is occurring. The method further includes one or more processors determining an operating environment type of a surface the audio device contacts after the freefall event ends, wherein the operating environment type of the surface indicates liquid is present. The method further includes responsive to the indication that water is present one or more processors taking a liquid mitigation action.

Abstract: Aspects of the present invention disclose a method for selecting a modality to distract a subject from engaging in risk events that minimize disturbances to users within the surrounding of the subject while maximizing an impact of the distraction on the subject. The method includes one or more processors identifying a sequence of actions of a subject within a sensor feed. The method further includes generating a knowledge graph based at least in part on activities of the subject, wherein the knowledge graph includes historical activity data. The method further includes determining that an activity of the subject is hazardous based at least in part on the sequence of actions of the subject. The method further includes initiating a distraction task on an internet of things (IoT) enabled device within a defined area that includes the subject, wherein the distraction task includes an audio-visual event.

Abstract: An indication is received. The indication is for a wireless communication being made by a computing device. Responsive to receiving the indication, an optimized location to make the wireless communication is determined based on a location of the computing device and an optimized locations list. The optimized location is communicated to the computing device making the wireless communication.

Abstract: Generating a composite screenshot including contextually relevant screenshots and displayed information. The composite screenshot includes one or more screenshots captured from a display screen of a requesting user. Contextual relevance is determined according to collected user communications data such as IoT interactions, social media posts, and chat session transcripts.

Abstract: A system for manipulating a 3D object for a computing device is provided. A computer device identifies one or more sensors worn by a user, wherein the one or more sensors track the user's hand and finger movements. The computing device monitors during production of a three dimensional (3D) object, the one or more sensors for modification to a holographic projection representing the 3D object, wherein the user's hand and finger movements modify the holographic projection representing the 3D object. A computing device identifies a modification to the 3D object represented by the holographic projection. A computing device generates a modification request based, at least in part, on the identified modification. The computing device updates production of the 3D object, based, at least in part, on the modification request.

Abstract: A computer-implemented method for providing contextual outputs based on varying coordinates related to a target event is provided. The method is implemented by a processor. The processor receives the target event based on a user input and the varying coordinates. The processor then executes a semantic analysis and relationships building operation on the varying coordinates and the target event to generate proposals and provides the contextual outputs based on the proposals. Note that the semantic analysis and relationships building operation reduces recommendation errors by and increases a computing efficiency of the processor with regard to providing the contextual outputs.

Abstract: A computer-implemented method for providing contextual outputs based on varying coordinates related to a target event is provided. The method is implemented by a processor. The processor receives the target event based on a user input and the varying coordinates. The processor then executes a semantic analysis and relationships building operation on the varying coordinates and the target event to generate proposals and provides the contextual outputs based on the proposals. Note that the semantic analysis and relationships building operation reduces recommendation errors by and increases a computing efficiency of the processor with regard to providing the contextual outputs.